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Manager Tensor Jobs in Ohio (NOW HIRING)

$88K - $121K/yr

... management * Lead technical development and roadmaps for your part of the stack, working with ... Hands-on experience with MLIR or similar compiler frameworks for tensor/graph workloads * Proven ...

$110K - $149K/yr

... management * Lead technical development and roadmaps for your part of the stack, working with ... Hands-on experience with MLIR or similar compiler frameworks for tensor/graph workloads * Proven ...

Manager Tensor information

What is a Manager Tensor?

A Manager Tensor is typically a managerial position responsible for overseeing teams that develop and implement machine learning models using TensorFlow or similar tensor-based frameworks. This role involves coordinating data science and engineering teams, ensuring project goals align with business objectives, and facilitating the deployment of scalable AI solutions. Additionally, a Manager Tensor may be tasked with mentoring staff, managing resources, and staying updated with the latest advancements in artificial intelligence. The position requires strong leadership, technical expertise in machine learning, and experience with deep learning platforms.

What are the key skills and qualifications needed to thrive as a Manager Tensor, and why are they important?

To thrive as a Manager Tensor (commonly referred to as a TensorFlow Manager or Machine Learning Manager), you need a solid background in machine learning, deep learning frameworks (especially TensorFlow), and experience leading technical teams, typically backed by a relevant degree. Proficiency with TensorFlow, Python, data engineering tools, and cloud platforms, along with certifications in machine learning, are highly valued. Leadership, strong communication, and project management skills help you effectively guide teams and collaborate with stakeholders. These skills ensure successful project delivery, innovation, and alignment with organizational goals in complex AI-driven environments.

What are some common challenges faced by a Manager Tensor when leading AI and machine learning teams?

A Manager Tensor often encounters challenges such as balancing technical leadership with strategic oversight, managing projects that involve complex and evolving technologies, and ensuring effective communication among data scientists, engineers, and stakeholders. Additionally, staying current with rapid advancements in AI frameworks and guiding the team through best practices can be demanding. Collaboration across multidisciplinary teams and aligning projects with business objectives are also key aspects of the role.

What is the difference between Manager Tensor vs Data Scientist?

AspectManager TensorData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Analytics, or related fields; certifications like TensorFlow Developer are commonBachelor's or Master's in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist are common
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in tech or AI-focused companiesAnalyzes data, builds models, reports insights in tech, finance, healthcare industries
Employer & Industry UsageUsed in AI, machine learning, and tech companies for managing TensorFlow projectsUsed across industries for data analysis, predictive modeling, and research

The main difference is that a Manager Tensor oversees AI projects involving TensorFlow, focusing on team management and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Manager Tensor role emphasizes leadership and project management within AI initiatives.

AI Compiler Engineer (Senior Staff)

RooflineAI GmbH

On-site

$88K - $121K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Roofline is building a software development kit to run any model on disruptive hardware at the edge. We are looking for talented and ambitious engineers that are passionate about technology to design and implement new components in our software stack. You will work alongside other world class engineers to enable the full spectrum of AI applications across heterogeneous hardware platforms.

Why us?
  • The opportunity to grow. Be at the forefront of building and shaping an industry-defining venture. There are plenty of opportunities to learn and grow
  • The team to succeed. We are building the leading AI compiler team in Europe. Join our future-focused team to contribute to meaningful, disruptive innovations with us
  • The flexibility you need. Whether you need to take extra time off, adjust your schedule, or have other ideas to maximize your productivity, we’ve got your back
  • The compensation that rewards. We are looking for world class talent and pay accordingly. We offer equity for every employee since we truly want you to participate in our success
  • The culture you desire. We actively make space to build our culture. We bring you on site regularly and organize dedicated retreats for the whole team
Your mission
  • Design and implement core components of our next generation compiler built upon MLIR
  • Set technical direction by owningkeyarchitecture and design decisions across the software stack
  • Explore, plan, and implement novel optimization techniques
  • Iterate with peers on customers’ teams to design the best compiler technology and user experience possible and present results to higher management
  • Lead technical development and roadmaps for your part of the stack, working with senior and junior team members
  • Align internal and external stakeholders on big changes and future long time developments
  • Drive knowledge sharing through high-quality documentation, design reviews, and cross-team context sharing to accelerate team-wide decision-making and technical growth
  • Expand a growing open-source community to foster a strong ecosystem around Roofline
  • Anticipate technical trends and make our software ready to handle them
Your profile
  • 10+ years of compiler experience (LLVM), including ownership of major components or architectures
  • Experience targeting CPUs, GPUs, or NPUs/ custom accelerators, including performance optimization
  • Expert knowledge and hands-on experience in C++ and Python
  • Hands-on experience with MLIR or similar compiler frameworks for tensor/graph workloads
  • Proven understanding of software engineering principles, data structures, design patterns, and algorithms
  • Desire to work with a growing community of open-source contributors
  • Ambition and curiosity to solve complex problems, a strong mindset to take ownership of your tasks to drive our solutions forwards, and collaborative attitude to foster our culture
  • 10+ years of compiler experience (LLVM), including ownership of major components or architectures
  • Experience targeting CPUs, GPUs, or NPUs/ custom accelerators, including performance optimization
  • Expert knowledge and hands-on experience in C++ and Python
  • Hands-on experience with MLIR or similar compiler frameworks for tensor/graph workloads
  • Proven understanding of software engineering principles, data structures, design patterns, and algorithms
  • Desire to work with a growing community of open-source contributors
  • Ambition and curiosity to solve complex problems, a strong mindset to take ownership of your tasks to drive our solutions forwards, and collaborative attitude to foster our culture
Nice to haves:
  • Meaningful contributions to open-source compiler communities
  • Knowledge of AI algorithms and compiling to AI workloads to relevant hardware
  • Knowledge of data motion networks, data flow programming models, and optimized AI libraries
About us

At RooflineAI, we enable the edge-AI products you dream of. Our mission is simple: To bring the power of chips into the hands of innovators, and to make it radically easier to use cutting-edge AI models on the best hardware.

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